A017
Advances of Atmospheric Remote Sensing Inversion

Session ID#: 74792

Session Description:
Radiation measurements from satellites, aircraft and the ground have been successfully employed for characterizing radiative properties of aerosols, clouds, atmospheric gases, land, and ocean. One of the challenges is the development of a reliable procedure for inversion of the observations.  This session is dedicated to unite works emphasizing the various aspects of numerical inversion that improve quantitatively and/or qualitatively the retrieved atmospheric products. The contributions are expected to address such important attributes of inversion as optimum accounting for errors in the data, inverting multi-source data, utilizing a priori information, inverse modeling and data assimilation, retrieval error estimations, and retrieval acceleration. We welcome exploration of new retrieval concept and improved products such as aerosol profile, surface particulate matter and ocean color for next generation of satellite missions such as ACCP and PACE missions. The development of light propagation and radiation models are also welcome provided they open opportunities for retrieval improvements.
Index Terms:

0305 Aerosols and particles [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0321 Cloud/radiation interaction [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0345 Pollution: urban and regional [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0360 Radiation: transmission and scattering [ATMOSPHERIC COMPOSITION AND STRUCTURE]

Primary Convener:  Oleg Dubovik, University of Lille 1, Laboratoire d'Optique Atmosphérique, Villeneuve d'Ascq, France
Convener:  Feng Xu, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Primary Liaison:  Feng Xu, Jet Propulsion Laboratory, Pasadena, CA, United States
 
Rigorous Estimates of the Errors for the Remote Sensing Retrievals: Implementation and Illustration for Aerosol Properties Inverted from Ground-based Observations (487962)
Milagros Herrera1, Oleg Dubovik2, Tatyana Lapyonok3, Anton Lopatin4, Benjamin Torres2, Juan Lucas Bali5,6 and Pablo Ristori7, (1)Laboratoire d'Optique Atmosphérique (LOA), Université de Lille 1, Villeneuve d'Ascq, Lille, France, (2)Laboratoire d'Optique Atmosphérique (LOA)/CNRS, University of Lille, Lille, France, (3)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (4)GRASP SAS, Remote Sensing Developments, Lille, France, (5)National Scientific and Technical Research Council (CONICET), ARGENTINA, Ciudad Autonoma de Buenos Aires, Argentina, (6)Department of Systems for the Management and Prevention of Risk - CITEDEF., Villa Martelli, Buenos Aires, Argentina, (7)Laser and Applications Research Center (CEILAP), UNIDEF (MINDEF-CONICET), Villa Martelli, Buenos Aires, Argentina
 
Constraining global aerosol emissions using satellite observations (488034)
Cheng Chen1,2, Oleg Dubovik1, Daven K Henze3, Mian Chin4, Tatyana Lapyonok5, Gregory L Schuster6, Fabrice Ducos5, David Fuertes7, Pavel Lytvynov8, Lei Li9, Anton Lopatin8, Qiaoyun Hu1 and Benjamin Torres1, (1)Laboratoire d'Optique Atmosphérique (LOA)/CNRS, University of Lille, Lille, France, (2)GRASP-SAS, Remote Sensing Developments, University of Lille, Lille, France, (3)University of Colorado Boulder, Boulder, CO, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (6)NASA Langley Research Center, Hampton, VA, United States, (7)GRASP SAS, Remote Sensing Developments, Université de Lille, Lille, France, (8)GRASP SAS, Remote Sensing Developments, Lille, France, (9)State Key Laboratory of Severe Weather (LASW) and Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, Beijing, China
 
Polarimetric retrievals of aerosol and cloud properties: Present status and future developments (Invited) (490629)
Otto P. Hasekamp1, Guangliang Fu2, Antonio Di Noia3, Cheng Fan4, Lianghai Wu1, Jochen Landgraf1, Martijn Smit4, Jeroen Rietjens1 and Aaldert van Amerongen1, (1)SRON Netherlands Institute for Space Research, Utrecht, Netherlands, (2)SRON, Netherlands Institute for Space Research, Utrecht, Netherlands, (3)University of Leicester, Leicester, United Kingdom, (4)Netherlands Institute for Space Research, Utrecht, Netherlands
 
Quantifying the impact of aerosol scattering on retrievals of methane from atmospheric remote sensing measurements (491531)
Yunxia Huang1, Vijay Natraj2, Zhaocheng Zeng3, Yuk L Yung1 and David R Thompson4, (1)California Institute of Technology, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)California Institute of Technology, Pasadena, United States, (4)Jet Propulsion Laboratory, Pasadena, CA, United States
 
Lidar-Polarimeter Retrieval OSSEs in Support of NASA's Aerosols and Clouds-Convection-Precipitation (A-CCP) Study (Invited) (491702)
Arlindo da SIlva1, Reed Espinosa2, Patricia Castellanos1, Peter Richard Colarco3, Edward P Nowottnick1 and John E Yorks4, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of Maryland Baltimore County, Physics, Baltimore, MD, United States, (3)NASA GSFC, Greenbelt, MD, United States, (4)SSAI/NASA GSFC, Greenbelt, MD, United States
 
Potential of multiple a priori constraints utilization in problems of atmospheric remote sensing: GRASP algorithm - concept and applications. (492054)
Oleg Dubovik1, Pavel Lytvynov2, Tatyana Lapyonok3, David Fuertes4, Anton Lopatin2, Fabrice Ducos3, Benjamin Torres5, Yevgeny Derimian1, Cheng Chen6, Lei Li1,7, Milagros Herrera8,9, Yana Karol10,11, Michael Aspetsberger12 and Christian Federspiel12, (1)University of Lille 1, Laboratoire d'Optique Atmosphérique, Villeneuve d'Ascq, France, (2)GRASP SAS, Remote Sensing Developments, Lille, France, (3)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (4)GRASP SAS, Remote Sensing Developments, Université de Lille, Lille, France, (5)Laboratoire d'Optique Atmosphérique (LOA)/CNRS, University of Lille, Lille, France, (6)GRASP-SAS, Remote Sensing Developments, University of Lille, Lille, France, (7)Key Laboratory for Atmospheric Chemistry, China Meteorological Administration, Beijing, China, (8)Laboratoire d'Optique Atmosphérique (LOA), Université de Lille 1, Villeneuve d'Ascq, Lille, France, (9)CEILAP-UNIDEF, CITEDEF, Province de Buenos Aires, Argentina, (10)GRASP-SAS, Villeneuve d'Ascq, France, (11)GRASP-SAS, Remote Sensing Developments, University of Lille, Villeneuve d'Ascq, France, (12)Catalysts GmbH, High Performance Computing, Linz, Austria
 
Synergy of PARASOL and CALIOP observations using GRASP algorithm for enhanced aerosol characterisation (492101)
Anton Lopatin1, Gregory L Schuster2, Oleg Dubovik3, Mark Vaughan2, Tatyana Lapyonok4, Fabrice Ducos4, Pavel Lytvynov1, David Fuertes5, Daniel Perez-Ramirez6, Benjamin Torres3, Yevgeny Derimian7 and Yana Karol8, (1)GRASP SAS, Remote Sensing Developments, Lille, France, (2)NASA Langley Research Center, Hampton, VA, United States, (3)Laboratoire d'Optique Atmosphérique (LOA)/CNRS, University of Lille, Lille, France, (4)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (5)GRASP SAS, Remote Sensing Developments, Université de Lille, Lille, France, (6)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (7)University of Lille 1, Laboratoire d'Optique Atmosphérique, Villeneuve d'Ascq, France, (8)GRASP-SAS, Villeneuve d'Ascq, France
 
Light scattering by carbonaceous aerosols: a mini-review (493047)
Li Liu, Columbia University and NASA GISS, Charlotte, NC, United States and Michael I Mishchenko, NASA, New York, NY, United States
 
Multi-angular Cloud Retrievals Using OSIRIS Airborne Measurements and Uncertainty Estimation of Measurement Errors, Ancillary Data and Usual Homogeneity Assumptions (494557)
Christian Matar, Céline Cornet, Frederic Parol, Laurent C.-Labonnote, Frederique Auriol, Jean-Marc Nicolas and Jérôme Riedi, Laboratoire d'Optique Atmosphérique - Université de Lille, CNRS, UMR 8518, Villeneuve d'Ascq, France
 
Airborne Measurements of Polarized Hyperspectral Microwave Radiances to Increase the Accuracy of Temperature and Water Vapor Retrievals: an Information Content Analysis (496713)
Natalia Bliankinshtein1, Philip Gabriel2, Yi Huang3, Mengistu Wolde1, Simon Olvhammar4, Anders Emrich4, Martin Kores4 and Rolv Midthassel5, (1)National Research Council Canada, Flight Research Laboratory, Ottawa, ON, Canada, (2)Horizon Science and Technology, Halifax, NS, Canada, (3)McGill University, Montreal, QC, Canada, (4)Omnisys Instruments AB, Gothenburg, Sweden, (5)European Space Agency, European Space Research and Technology Centre, Noordwijk, Netherlands
 
Applying the Community Radiative Transfer Model to Remote Sensing and Data Assimilation (497682)
Patrick Stegmann1, Emily Liu2 and Benjamin Johnson1, (1)Joint Center for Satellite Data Assimilation, Camp Springs, MD, United States, (2)Joint Center for Satellite Data Assimilation, College Park, MD, United States
 
Using Novel Machine Learning Algorithms to Improve the Spatiotemporal Coverage of Satellite Aerosol Optical Depth (503441)
Jingting Huang1, Amir Ghasemkhani2, Sandra Marcela Loria Salazar3, Feng Yan2, Lei Yang2, Evgenia Smirni4, Jens Redemann5 and Heather Holmes1, (1)University of Nevada Reno, Atmospheric Sciences Program, Department of Physics, Reno, NV, United States, (2)University of Nevada Reno, Department of Computer Science & Engineering, Reno, NV, United States, (3)University of Oklahoma Norman Campus, School of Meteorology, Norman, OK, United States, (4)College of William and Mary, Department of Computer Science, Williamsburg, VA, United States, (5)NASA Ames Research Center, Moffett Field, CA, United States
 
Characterisation of aerosol size properties from measurements of spectral optical depth: a global validation of the GRASP-AOD code using long-term AERONET data. (505053)
Benjamin Torres, Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France and David Fuertes, GRASP SAS, Remote Sensing Developments, Université de Lille, Lille, France
 
Advanced aerosol characterization from EUMETSAT 3MI Mission: the Multi-View Polarimeter Flying on Metop-SGA (505232)
Thierry Marbach1, Oleg Dubovik2, Bertrand Fougnie1, Pavel Lytvynov3, Julien Chimot1, Michael Aspetsberger4 and Bojan R Bojkov1, (1)EUMETSAT, Darmstadt, Germany, (2)Laboratoire d'Optique Atmosphérique (LOA)/CNRS, University of Lille, Lille, France, (3)GRASP SAS, Remote Sensing Developments, Lille, France, (4)Catalysts GmbH, High Performance Computing, Linz, Austria
 
Estimation of Uncertainties of Retrieved Aerosol Parameters in Version 3 of the AERONET Inversion Algorithm. (507172)
Alexander Sinyuk1, Brent Holben2, Thomas F Eck3, Ilya Slutsker4, David Matthew Giles4, Joel Schafer5, Alexander Smirnov1 and Mikhail G Sorokin4, (1)Science Systems and Applications, Inc., Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)Nasa Goddard SFC, Greenbelt, MD, United States, (4)Science Systems and Applications, Inc., Lanham, MD, United States, (5)NASA GSFC, Greenbelt, MD, United States
 
Impact of Aerosol Vertical Distribution on Satellite Retrieved Aerosol Products (509117)
Chong Li, Peking University, Beijing, China and Jing Li, Peking University, Department of Atmospheric and Oceanic Sciences, Beijing, China
 
A correlated radiative transfer model for aerosol remote sensing (510838)
Feng Xu, Jet Propulsion Laboratory, Pasadena, CA, United States, David J Diner, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and Oleg Dubovik, Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France
 
Constraining aerosol vertical structure in coastal regions using hyperspectral O2 absorption measurements from space (512710)
Zhao-Cheng Zeng, UCLA, Los Angeles, CA, United States, Feng Xu, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Vijay Natraj, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and Yuk L Yung, California Institute of Technology, Pasadena, CA, United States
 
Global Maps of Aerosol Single Scattering Albedo Using Joint CERES-MODIS Retrievals (514189)
Archana Devi and Satheesh S. K., Indian Institute of Science, Bangalore, India
 
Defining Aerosol Layer Height for Ultra-violet Aerosol Index Interpretation Using Aerosol Vertical Distribution Characterized by MERRA-2 (517381)
Jiyunting Sun, Pepijn Veefkind, Peter F. J. van Velthoven and Pieternel Levelt, Royal Netherlands Meteorological Institute, De Bilt, Netherlands
 
A multi-angle polarimeter for the future European CO2 monitoring mission (522704)
Jochen Landgraf1, Stephanie Rusli1, Hein van Heck1, Lianghai Wu1, Trismono Krisna1, Bernd Sierk2, Yasjka Meijer2 and Otto P Hasekamp3, (1)SRON Netherlands Institute for Space Research, Utrecht, Netherlands, (2)ESA-ESTEC, Noordwijk, Netherlands, (3)SRON, Netherlands Institute for Space Research, Utrecht, Netherlands
 
Impact of Precipitation on Retrieved Warm Cloud Properties Using Visible and Near-infrared Reflectances Using Markov Chain Monte Carlo Techniques (528823)
Zhuocan Xu, University of Utah, Salt Lake City, UT, United States, Gerald G Mace, Univ Utah, Salt Lake City, UT, United States and Derek J Posselt, Jet Propulsion Laboratory, Pasadena, CA, United States
 
DIVA: Demonstration of an Integrated approach for the Validation and exploitation of Atmospheric missions (533976)
David Fuertes1, Doina Nicolae2, Oleg Dubovik3, Benjamin Torres3, Philippe Goloub4, Anton Lopatin5, Ioannis Binietoglou6, Livio Belegante7, Dragos Ene8, Alexander Cede9, Axel Kreuter9, Michael Aspetsberger10, Christoph Holter10 and Jonas Von Bismarck11, (1)GRASP SAS, Remote Sensing Developments, Université de Lille, Lille, France, (2)National Institute for Research and Development in Optoelectronics, Bucharest, Romania, (3)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (4)Laboratoire d'Optique Atmosphérique, Univ. Lille, CNRS, UMR 8518, Lille, France, (5)GRASP SAS, Remote Sensing Developments, Lille, France, (6)National Institute for Research and Development in Optoelectronics, Ilfov, Romania, (7)INOE, Magurele, Romania, (8)INOE National Institute for Research and Development in Optoelectronics, Magurele, Romania, (9)LuftBlick, Innsbruck, Austria, (10)Catalysts GmbH, High Performance Computing, Linz, Austria, (11)European Space Agency, Frascati, Italy
 
Uncertainties of forward modelling: impact on the retrieval from diverse remote sensing instruments (534213)
Pavel Lytvynov1, Oleg Dubovik2, David Fuertes3, Anton Lopatin1, Chen Cheng1, Tatyana Lapyonok2, Fabrice Ducos2, Benjamin Torres2, Moritz Wanzenboeck4, Michael Aspetsberger4, Andreas Hangler4, Stefan Amberger4, Petrut Cobarzan4, Daniel Marth4, Christoph Holter4 and Verena Lanzinger4, (1)GRASP SAS, Remote Sensing Developments, Lille, France, (2)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (3)GRASP SAS, Remote Sensing Developments, Université de Lille, Lille, France, (4)Catalysts GmbH, High Performance Computing, Linz, Austria
 
Development of an algorithm retrieving near-surface fine mode aerosol information from simultaneous sky-radiometer and MAX-DOAS observations (538452)
Masahiro Momoi1, Rei Kudo2, Kazuhiko Miura3, Alessandro Damiani1, Hossain Mohammed Syedul Hoque1, Hitoshi Irie1 and Hiroshi Okamoto1, (1)Center for Environmental Remote Sensing, Chiba University, Chiba, Japan, (2)Meteorological Research Inst, Tsukuba-Shi, Ibaraki, Japan, (3)Tokyo University of Science, Tokyo, Japan
 
Aerosol profiling using radiometric and polarimetric spectral measurements in the O2 A-band (541440)
Myungje Choi1, Stanley Sander1, Thomas Pongetti1, Jonathan H. Jiang1, Robert J D Spurr2 and Dejian Fu1, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)Rt Solutions Inc., Cambridge, MA, United States
 
Retrieving the diurnal cycle of aerosol optical depth from current and future Meteosat geostationary satellites (543848)
Xavier Ceamanos1, Suman Moparthy1, Dominique Carrer1 and Bruno Six2, (1)CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France, (2)ICARE, Data and Services Center, Villeneuve d'Ascq, France
 
Assessment of Global Distribution and Temporal Changes of Background Aerosol Optical Depth (548519)
Mijin Kim1, Jhoon Kim2, Seung Hee Kim1, Woogyung Vincent Kim3,4, Yun Gon Lee5 and Menas Kafatos1, (1)Chapman University, Center of Excellence in Earth Systems Modeling & Observations, Orange, CA, United States, (2)Yonsei University, Department of Atmospheric Sciences, Seoul, South Korea, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States, (5)Chungnam National University, Department of Atmospheric Sciences, Daejeon, South Korea
 
Assessing Skill in Next Generation Observing Systems using Airborne In Situ Data: Warm Marine Boundary Layer Clouds and Tropical Cirrus (550861)
Yuli Liu, University of Utah, Salt Lake City, United States, Gerald G Mace, Univ Utah, Salt Lake City, UT, United States and Zhuocan Xu, University of Utah, Salt Lake City, UT, United States
 
Reasons Why the AAE Approach is Inappropriate for Inferring Component Aerosol Absorption Optical Depth (553894)
Gregory L Schuster, NASA Langley Research Center, Hampton, VA, United States, Oleg Dubovik, Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, Antti Arola, Finnish Meteorological Institute, Helsinki, Finland, Tom Eck, USRA, Greenbelt, United States and Brent Holben, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Application of Neural Network to Radiative Transfer simulation for BUV hyperspectral sensor (574051)
Dae Sung Choi, Pusan National University, Department of Earth Environmental System, Busan, South Korea, Jae H Kim, Pusan National University, Busan, South Korea and Juseon Bak, Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States
 
Improved Standard Nitrogen Dioxide Product from Aura/OMI (589215)
Lok N Lamsal1, Nickolay Anatoly Krotkov2, Alexander P Vasilkov3, Sergey V Marchenko4, Joanna Joiner5, Wenhan Qin4, Eun-Su Yang4, Sungyeon Choi6, Zachary Fasnacht7, David P Haffner3 and William H Swartz8, (1)Universities Space Research Association Columbia, Columbia, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)Science Systems and Applications, Inc., Lanham, MD, United States, (4)SSAI, Lanham, MD, United States, (5)NASA GSFC, Greenbelt, MD, United States, (6)SSAI, Elkridge, MD, United States, (7)University of Maryland College Park, College Park, MD, United States, (8)Johns Hopkins Univ, Laurel, MD, United States
 
Inversion of multi-angular polarimetric measurements over coastal waters from the ACEPOL campaign: an application to improve atmospheric correction for hyperspectral ocean color retrievals (589738)
Meng Gao1, Pengwang Zhai2, Bryan A Franz1, Kirk D Knobelspiesse1, Amir Ibrahim1, Brian Cairns3, Guangliang Fu4, Otto P Hasekamp4, Yongxiang Hu5 and Jeremy Werdell1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of Maryland Baltimore County, Baltimore, MD, United States, (3)NASA Goddard Institute for Space Studies, New York, NY, United States, (4)SRON, Netherlands Institute for Space Research, Utrecht, Netherlands, (5)NASA Langley Research Center, Hampton, VA, United States
 
Uncertainties characterization of tropospheric profile retrieval by a Bayesian inversion as compared to state-of-the-art methods from ground-based microwave radiometry (589952)
Pablo Saavedra Garfias, University of Bergen, Geophysical Institute, Bergen, Norway and Joachim Reuder, University of Bergen, Bergen, Norway
 
Retrieval of aerosol optical properties from MAX-DOAS simulations using machine learning (596531)
Yun Dong, Blacksburg, VA, United States, Elena Spinei, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States and Anuj Karpatne, Virginia Tech, Dept. of Computer Science, Blacksburg, VA, United States
 
Retrieving marine boundary layer cloud and drizzle microphysical properties using ground-based and aircraft in situ measurements during ACE-ENA (602841)
Peng Wu1, Xiquan Dong2, Baike Xi1, Jingjing Tian3 and Dale Ward4, (1)University of Arizona, Tucson, AZ, United States, (2)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (3)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (4)University of Arizona, Atmospheric Sciences, Tucson, AZ, United States
 
Retrieval of temperature and humidity profile changes using highly averaged longwave spectral radiances (606404)
Seiji Kato1, Fang Pan2, Fred G Rose3, Alexander Radkevich4 and Xu Liu1, (1)NASA Langley Research Center, Hampton, VA, United States, (2)University space research association, Hampton, VA, United States, (3)Science Systems and Applications, Inc. Hampton, Hampton, VA, United States, (4)Science System & Applications Inc., Hampton, United States
 
A Bayesian Framework for the Atmospheric Correction of Ocean Color Satellite Sensors (609246)
Amir Ibrahim, Erdem Karakoylu and Bryan A Franz, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Inverse Modeling of Hyperspectral Observations with Uncertainty Estimation using Neural Networks and Active Learning (611395)
Steffen Mauceri, Laboratory for Atmospheric and Space Physics, Boulder, CO, United States and Peter Pilewskie, University of Colorado Boulder, Boulder, CO, United States
 
Investigating the role of nonspherical particles through a joint implementation of the Dark Target and GRASP aerosol retrieval algorithms (619439)
Reed Espinosa1, Robert C Levy1, Oleg Dubovik2, Yingxi Rona Shi1, Lorraine Remer3, Tatyana Lapyonok2 and David Fuertes4, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, (3)Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, MD, United States, (4)GRASP SAS, Remote Sensing Developments, Université de Lille, Lille, France
 
GOSAT-2/TANSO-CAI-2 Aerosol properties by Multiple wavelengths and pixels method (627540)
Makiko Hashimoto, Japan Aerospace Exploration Agency, Tsukuba, Japan, Hideaki Takenaka, JAXA Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center (EORC), Tsukuba, Japan, Chong Shi, Japan Aerospace Exploration Agency, Earth Observation Research Center, Kanagawa, Japan and Teruyuki Nakajima, Atmosphere and Ocean Research Institute University of Tokyo, Tokyo, Japan
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